{"id":"W3125334212","doi":"10.17705/1jais.00237","title":"A Theory-Driven Design Framework for Social Recommender Systems","year":2010,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; City University of New York","keywords":"Recommender system; Computer science; Competence (human resources); Similarity (geometry); Designtheory; Design science; Artificial intelligence; Information retrieval; Knowledge management; Human–computer interaction; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01897665,0.002319627,0.001288241,0.00288882,0.001730853,0.004889253,0.004368645,0.003842135,0.005268858],"category_scores_gemma":[0.01969655,0.001520403,0.002636997,0.001660215,0.004531102,0.003273035,0.003538359,0.003570933,0.001685129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003393784,"about_ca_system_score_gemma":0.006045831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003515131,"about_ca_topic_score_gemma":0.004986202,"domain_scores_codex":[0.9846144,0.009619195,0.001032521,0.001291798,0.003037313,0.0004047191],"domain_scores_gemma":[0.9855565,0.008594142,0.0008917573,0.001583497,0.002790847,0.0005833025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001034649,0.0003428441,0.001274344,0.001250294,0.0002402584,0.0004943987,0.002440951,0.1275821,0.004246604,0.7918071,0.002772258,0.06744541],"study_design_scores_gemma":[0.0003140557,0.0005127887,0.0003434096,0.0004894065,0.0001842274,0.0003470029,0.0006285443,0.4615916,0.002810058,0.4819431,0.05072738,0.000108316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001147012,0.0001292772,0.9947159,0.0007013702,0.00004173315,0.0005951833,0.00004274834,0.0001172267,0.002509509],"genre_scores_gemma":[0.04326951,0.0002338052,0.9519433,0.0002316775,0.00004225729,0.002925584,0.0001135547,0.00003659966,0.00120369],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01897665,"threshold_uncertainty_score":0.1003593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622215138912869,"score_gpt":0.3018622921912353,"score_spread":0.2756401408021066,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}